04 · AI Agent Engineering
AI agents that
take over tasks
We develop custom AI agents that automate recurring processes, research information, process data and integrate into existing systems. Not a chat interface for its own sake, but agents that take over concrete tasks and connect your systems with each other.
Custom agents for concrete tasks
Every agent is developed for a clearly defined use case: with defined tasks, rules, approval levels and limits. The logic follows your process, not a standard product. This produces agents that work reliably, deliver traceable results and can be extended with further tasks when needed.
- Analysis of the process and the systems involved
- Custom logic depending on the use case
- Approval levels, rules and clear limits
- Logged, traceable results
Research, data preparation and CRM maintenance
Agents take over tasks that currently tie up a lot of time in the team: gathering information from several sources, evaluating documents and emails, structuring data and keeping records up to date. In the CRM they add missing details, qualify enquiries and prepare the next step for your team.
- Research with structured summaries
- Extraction and preparation of data from documents and emails
- CRM maintenance, enrichment and qualification of enquiries
- Recurring reports and analyses
Connecting to existing systems and platforms
An agent is only as useful as its connections. We connect CRM, ERP, ticketing systems, email, databases and internal tools via interfaces, so that agents read and act where your work actually takes place. Operation runs in the EU cloud or in your own infrastructure, with roles, rights and data protection from the start.
- APIs, webhooks and database connections
- Internal workflows and business processes
- Roles, rights and data protection from the start
- EU cloud or own infrastructure
Consulting, implementation and further development
We support you from choosing the right use case through the prototype to ongoing operation. Agents are tested with real data, rolled out step by step and developed further based on key figures. Your team learns to review results and hand over new tasks safely.
- Selection and evaluation of use cases
- Prototype with real data and clear success criteria
- Step-by-step rollout and training of the teams
- Monitoring, maintenance and ongoing development
Process
How we work
01 Process workshop
02 Prototype & test
03 Integration & rollout
04 Operation & further development
Frequently asked questions
What sets an AI agent apart from a chatbot or workflow?
A chatbot answers in a conversation, a workflow follows a fixed sequence of steps, an agent picks tools and steps itself within narrow limits. The overview is under AI agents for business.
Which processes suit an agent?
Recurring tasks with clear inputs and results that can be checked, for example research, evaluating documents and emails, CRM upkeep or recurring reports.
How do we stay in control?
Every agent has defined tasks, rules, approval levels and limits. Results are logged and traceable. Actions with external effect go through approval.
Which systems can be connected?
CRM, ERP, ticketing systems, email, databases and internal tools through their interfaces. Examples: AI agents for CRM and HubSpot and Processing documents with AI agents.
Where do the agents run?
In the EU cloud or on your own infrastructure, with roles, permissions and data protection from the start.
How long does a pilot project take?
That depends on the use case and the systems involved. After the process workshop we can estimate scope and timeline. The prototype runs on real data with clear success criteria.
Related topics
More detail on this area.
AI agents for business
Chatbot, workflow or agent: how AI agents work, which processes suit them and what control and limits look like.
View topicAI agents for CRM and HubSpot
Lead research, data enrichment, summaries and follow-up preparation in the CRM, with approval logic instead of flying blind.
View topicProcessing documents with AI agents
Intake, classification, extraction, validation and approval: how documents are processed with AI agents, without promises of full automation.
View topic
Ready for your next project?
Tell us briefly what you want to achieve with generative AI. We advise you on content production, digital twins, AI workflows and integration, and get back to you within 24 hours with an initial assessment.